Publications
Research
# Equal contribution · * Corresponding author
2026
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Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization
arXiv preprint
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Conformal Robustness Control: A New Strategy for Robust Decision
ICLR · Oral
2025
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Optimal Model Selection for Conformalized Robust Optimization
arXiv preprint
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CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
Journal of Machine Learning Research
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Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach
ICML
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Error-quantified Conformal Inference for Time Series
ICLR
2024
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Selective Conformal Inference with False Coverage-statement Rate Control
Biometrika
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Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
ICML
2023
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Semi-Profiled Distributed Estimation for High-Dimensional Partially Linear Model
Computational Statistics & Data Analysis
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Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization
NeurIPS
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Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds
NeurIPS
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EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
ICLR
2022
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Varying Coefficient Linear Discriminant Analysis for Dynamic Data
Electronic Journal of Statistics
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Fast Composite Optimization and Statistical Recovery in Federated Learning
ICML
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Byzantine-Tolerant Distributed Multiclass Sparse Linear Discriminant Analysis
UAI